BC-HRM: A Blockchain-Based Human Resource Management System Utilizing Smart Contracts

Adel, Heba Mohamed; ElBakary, Mostafa; ElDahshan, Kamal A.; Salah, Dina

doi:10.1007/978-3-030-84337-3_8

Cited by 9 publications

(12 citation statements)

References 11 publications

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“…Fraud mapping is vital because it offers several advantages, including the following: monitoring for potentially fraudulent and high-risk events (Thomas et al, 2013), calculating transaction risk factors to determine the legitimacy (Adel et al, 2022) and monitoring fraudulent online activities (Kuzmenko et al, 2021), providing alerts and analysis tools for administrators (Hidayati et al, 2021) and facilitating compliance with privacy and security regulations (Kuzmenko et al, 2021), prevent complex fraud and increase coverage (Antje and Gary, 2019). Several qualitative and quantitative methods have historically been applied to mapping the two streams.…”

Section: Effective Response System For Internal-led Cyber Fraudsmentioning

confidence: 99%

“…According to Yigitcanlar and Dizdaroglu (2015), alternate scenario-based fraud management could be a solution to minimize the adverse externalities of widespread cyber fraud. Fraud-specific management aims to reduce offender impact on victims and protect the overall bank ecosystem (Adel et al, 2022). Cybercrime mitigation planners, policymakers and academics are all interested in fraud-based mitigation planning.…”

Section: Effective Response System For Internal-led Cyber Fraudsmentioning

confidence: 99%

“…Authors have examined fraud consequences, impacts and preventive measures in insider-led cyber frauds around the world – The United States of America (USA): (Adel et al. , 2022; Braithwaite, 2010); Nigeria: (Owolabi, 2010; Uchenna and Agbo, 2013); the United Kingdom (UK): (Haugen and Selin, 1999; Inkoom and Leiringer, 2016; KPMG, 2012); Asia: (Ku et al.…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

“…Authors have examined fraud consequences, impacts and preventive measures in insiderled cyber frauds around the world -The United States of America (USA): (Adel et al, 2022;Braithwaite, 2010); Nigeria: (Owolabi, 2010;Uchenna and Agbo, 2013); the United Kingdom (UK): (Haugen and Selin, 1999;Inkoom and Leiringer, 2016;KPMG, 2012); Asia: (Ku et al, 2007;Agarwal and Sharma, 2014;Mangala and Kumari, 2017;Ramamoorti et al, 2013); Iran: (Kazemian et al, 2019;Khrawish and Al-Sa'di, 2011). Insider cybercrimes have been investigated in emerging economies by many authors as well (Agarwal and Sharma, 2014;Van Akkeren and Buckby, 2017;Gerard and Verschueren, 2002;Millichamp and Taylor, 2012;Sharma, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Hence a suitable risk response system should be the one that detects fraud early and takes action promptly (Shin and Benjamin, 2020). Also, the proposed solution should offer long-term protection from cyber fraud with minimal investment and minor changes to existing systems (Adel et al, 2022). Besides, European and Middle East banks (Eaton and Korach, 2016;Thompson et al, 2017) emphasized that fraud investigation measures must be flexible enough to respond to evolving crimes and detect change during fraud events.…”

Section: Introductionmentioning

confidence: 99%

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Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

Roy

Prabhakaran²

2022

AJIM

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PurposeThe study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.Design/methodology/approachThe methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.FindingsFinally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.Research limitations/implicationsAdditionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).Practical implicationsStructured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.Originality/valueThe innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.

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Section: Effective Response System For Internal-led Cyber Fraudsmentioning

confidence: 99%

Section: Effective Response System For Internal-led Cyber Fraudsmentioning

confidence: 99%

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

Roy

Prabhakaran²

2022

AJIM

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An innovative blockchain-based system for human resources digitalization with traceable relationship management

Pipino,

Rocco,

Pagano

et al. 2024

ITM Web Conf.

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Small and Midsize Enterprises (SMEs) have faced innovative changes in their organizational structure, especially in human resources (HR) and employee management: these digital structural changes have transformed their business practices and strategies. The employees with new technical skills have also been impactful in this digitalization. The HR departments in SMEs have become increasingly pivotal in recruiting new employees and supporting existing employees throughout the organization. ITSvil in Salerno (Italy) has developed the Easywork project based on the “Fenice” microservices architecture. This system supports the HR departments in efficiently managing HR activities through digitalization. The first step in acquiring new resources is formulating the employment contract, which is essential for stipulating agreements on specific job requirements. Blockchain technology and smart contracts are among recent technological innovations impacting this process. Writing contracts in digital codes to simplify and effectively manage the legal relationship involving bureaucratic tasks and cost management is now possible. The new digital system makes employment contract processing transparent, traceable, and reliable. This research presents the design and development of a new microservice compatible and integrable process with the “Fenice” system based on blockchain technology. The proposed digital system aims to make HR management activities more transparent and traceable.

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Insider employee-led cyber fraud (IECF) in Indian banks: from identification to sustainable mitigation planning

Roy

Prabhakaran

2023

Behaviour & Information Technology

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BC-HRM: A Blockchain-Based Human Resource Management System Utilizing Smart Contracts

Cited by 9 publications

References 11 publications

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

Internal-led cyber frauds in Indian banks: an effective machine learning–based defense system to fraud detection, prioritization and prevention

An innovative blockchain-based system for human resources digitalization with traceable relationship management

Insider employee-led cyber fraud (IECF) in Indian banks: from identification to sustainable mitigation planning

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